Open-source text-to-SQL and text-to-chart GenBI agent with a semantic layer. Ask your database questions in natural language — get accurate SQL, charts, and BI insights. Supports 12+ data sources (PostgreSQL, BigQuery, Snowflake, etc.) and any LLM (OpenAI, Claude, Gemini, Ollama).

FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

DevOps-Models is a series of industrial-first LLMs for theDevOps domain. Asking it for any question in the DevOps domain to get solution!

Ask LLM directly from your terminal

Fact-checking LLM outputs with self-ask

Summon it with a keystroke, throw in anything you want to remember or ask your own memory. A local LLM agent that restructures your knowledge into a vectorized DB. fully private, zero cloud.

A Model Context Protocol (MCP) server for interacting with Ghost CMS through LLM interfaces like Claude. Allow you to control your Ghost blog by simply asking Claude etc.

Transform arXiv papers into a single LaTeX source that can be used as a prompt for asking LLMs questions about the paper.

Awesome deliberative prompting: How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.

Integrate ChatGPT-style LLMs into Neovim: ask questions, keep multi-file context, pull diagnostics / command output, and chat without leaving your editor. Highly configurable, async, lua-only plugin.

This is a Python application that allows you to load a PDF and ask questions about it using natural language. The application uses a LLM to generate a response about your PDF. The LLM will not answer questions unrelated to the document.

Interact with any LLM service

We assessed the ability of popular LLMs to generate accurate and efficient SQL from natural language prompts. Using a 200 million record dataset from the GH Archive uploaded to Tinybird, we asked the LLMs to generate SQL based on 50 prompts.

Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"

Ask questions of your data with LLM assistance

In this project, we used Langchain to create a ChatGPT for your PDF using Streamlit. We built an application that allows you to ask questions about a PDF document and get answers directly from an LLM (Large Language Model), like OpenAI's ChatGPT.

Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

ask is an AI-powered CLI tool for developers who live in the terminal. It brings multi-provider LLM support, agent capabilities, and shell-native intelligence to your fingertips.

A LLM powered YouTube Assistant, ask question about a YouTube video.

Replication code for https://www.john-joseph-horton.com/papers/llm_ask.pdf

Chat with your PDFs, built using Streamlit and Langchain. Allows the user to ask questions to a LLM, which will answer based on the content of the provided PDFs.

Ask LLM directly from your terminal using a pure bash script

A benchmark for conversational bargaining by language models. In each 20‑round match one LLM plays buyer, one plays seller, and both hold a hidden private value. Every round they swap a short public message, then post a bid or ask; a deal clears whenever the bid meets the ask.

Build an LLM powered Ask the Data App with LangChain (using the Pandas DataFrame Agent) and Streamlit

LLM plugin for asking questions of LLM's own documentation, and related packages

Tellix is a conversational recon interface powered by httpx and LLMs. Just ask.

Private-AI is an innovative AI project designed for asking questions about your documents using powerful Large Language Models (LLMs). The unique feature? It works offline, ensuring 100% privacy with no data leaving your environment